Dr Matteo Barberis
Matteo started to work on cell cycle control during his master thesis and early PhD in the laboratory of Lilia Alberghina at the University of Milano-Bicocca (Italy), where he was interested to investigate biochemical mechanisms through which cellular activators and inhibitors regulate biochemically the onset into DNA replication in budding yeast. He then moved to the Max Planck Institute for Molecular Genetics in Berlin (Germany), in the laboratory of Edda Klipp, to complete his PhD and translate his experimental research into computational modeling through generation of mathematical models of the eukaryotic cell cycle. He then did a six year Postdoc at both the Max Planck Institute for Molecular Genetics and the Humboldt University in Berlin with Edda Klipp, where he developed as a systems biologist by integrating computational modeling and experimental strategies to uncover novel molecular mechanisms driving a timely cell cycle. In 2013, he then started his independent group as Assistant Professor of Synthetic and Systems Biology at the University of Amsterdam (The Netherlands), where he expanded his investigations to explore how molecular switches drive gene regulation dynamics in cell cycle control and in immune responses, such as those governed by T and mast cells. In December 2018, he joined the University of Surrey as Reader in Systems Biology, with the aim to unravel design principles of cellular organization, and develop multi-scale frameworks to understand how properties of biochemical systems emerge from the integration of multiple regulatory layers. His multi-faceted interests also expands to build cellular maps for network-based drug design, with a particular emphasis on cell physiology and disease.
Altogether, Matteo aims to unravel design principles of cellular organization by integrating computational modeling and molecular biology, in order to predict, test and validate experimentally molecular mechanisms underlying emergent properties of biological systems. He uses yeast and mammalian cells to investigate how dynamics switches timely control the eukaryotic cell division cycle. Furthermore, Matteo is also interested to develop multi-scale frameworks and tools to understand how properties of biological systems emerge from the integration of multiple layers of cellular regulation.
Areas of specialism
Matteo's background integrates Industrial Biotechnology, Biochemistry, Molecular Biology and Computational Modeling. Thanks to this acquired interdisciplinarity, he has embarked in Systems Biology research by integrating experimentation and computation to decipher design principles underlying cellular organization. In his scientific research, Matteo employs modeling methodologies to predict systems properties, which he then tests experimentally.
Matteo has a profound interest in exploring the systems biology approaches to unravel design principles in the life sciences. His research aims, on the one hand, to bring together computation and experimentation to unravel molecular mechanisms, e.g. control of gene regulation, underlying switches responsible for temporal dynamics in cell cycle control and immune responses. On the other hand, he is developing multi-scale frameworks and tools that integrate – by various modeling techniques – layers of cellular regulation, with a particular emphasis on the interface between cell cycle and cell physiology.
Matteo’s researches in Systems Biology involves: (i) integrating experimental and computational approaches to identify design principles underlying cellular organization, (ii) unraveling molecular switches in temporal dynamics, e.g. of cell cycle and of immune responses, (iii) developing multi-scale frameworks and tools that integrate layers of cellular regulation, and (iv) building cellular maps for network-based drug design, with a particular emphasis on cell physiology and disease.